- Improved error handling in `TriggerSubscriptionListApi` to return a 404 response for ValueErrors.
- Refactored end user creation logic in `service_api/wraps.py` to use `get_or_create_end_user` for better clarity and consistency.
- Introduced a new method `create_end_user_batch` for batch creation of end users, optimizing database interactions.
- Updated various trigger-related services to utilize the new end user handling, ensuring proper user context during trigger dispatching.
- Updated the `PluginTriggerManager` to serialize the `subscription` parameter using `model_dump()` before passing it during trigger invocation. This change ensures that the subscription data is correctly formatted for processing.
- Enhanced `PluginTriggerManager`, `PluginTriggerProviderController`, and `TriggerManager` to accept a `subscription` parameter in their trigger invocation methods.
- Updated `TriggerService` to pass the subscription entity when invoking trigger events, improving the handling of subscription-related data during trigger execution.
- Added `credentials` and `credential_type` parameters to various methods in `PluginTriggerManager`, `PluginTriggerProviderController`, and `TriggerManager` to support improved credential management for trigger subscriptions.
- Updated the `Subscription` model to include `parameters` for better subscription data handling.
- Refactored related services to accommodate the new credential handling, ensuring consistency across the trigger workflow.
- Changed the parameter name from 'type' to 'type_' in multiple method calls within the PluginTriggerManager class to avoid conflicts with the built-in type function and improve code clarity.
- Cleaned up the code by removing extraneous whitespace in `trigger.py` and `workflow_plugin_trigger_service.py`, improving readability and maintaining code style consistency.
- Updated the naming convention from 'trigger_name' to 'event_name' across various models and services to align with the new event-driven architecture.
- Refactored methods in PluginTriggerManager and PluginTriggerProviderController to use 'invoke_trigger_event' instead of 'invoke_trigger'.
- Adjusted database migration scripts to reflect changes in the schema, including the addition of 'event_name' and 'subscription_id' fields in the workflow_plugin_triggers table.
- Removed deprecated trigger-related methods in WorkflowPluginTriggerService to streamline the codebase.
- Updated variable names and types from 'trigger' to 'event' across multiple files to enhance clarity and maintain consistency in the codebase.
- Adjusted related data structures and API responses to reflect the new naming convention.
- Improved type annotations and error handling in the workflow trigger run API and associated services.
- Updated class and variable names from 'triggers' to 'events' across multiple files to improve clarity and consistency.
- Adjusted related data structures and methods to reflect the new naming convention, including changes in API entities, service methods, and trigger management logic.
- Ensured all references to triggers are replaced with events to align with the updated terminology.
- Introduced CHECKBOX as a new parameter type in CommonParameterType and PluginParameterType.
- Updated as_normal_type and cast_parameter_value functions to handle CHECKBOX type.
- Enhanced ToolParameter class to include CHECKBOX for consistency across parameter types.
These changes expand the parameter capabilities within the API, allowing for more versatile input options.
- Initialized `response` variable in `trigger.py` to ensure proper handling in the trigger endpoint.
- Updated `http_parser.py` to conditionally set `CONTENT_TYPE` and `CONTENT_LENGTH` headers for improved robustness.
- Changed `datetime.utcnow()` to `datetime.now(UTC)` in `sqlalchemy_workflow_trigger_log_repository.py` and `rate_limiter.py` for consistent time zone handling.
- Refactored `async_workflow_service.py` to use the public method `get_tenant_owner_timezone` for better encapsulation.
- Simplified subscription retrieval logic in `plugin_parameter_service.py` for clarity.
These changes improve code reliability and maintainability while ensuring accurate time management and request processing.